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---
dataset_info:
- config_name: ar
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
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    num_examples: 22261
  - name: test
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    num_examples: 5780
  download_size: 7199085
  dataset_size: 16095505
- config_name: bo
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
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  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
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    num_bytes: 14642058
    num_examples: 25015
  - name: test
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    num_examples: 4707
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- config_name: cl
  features:
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  - name: query
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  - name: docid
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  - name: docid_text
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  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 12782903
    num_examples: 22330
  download_size: 5515365
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- config_name: co
  features:
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  - name: query
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  - name: docid
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  - name: query_date
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  - name: answer_date
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  - name: match_score
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  - name: expanded_search
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  - name: answer_type
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  splits:
  - name: train
    num_bytes: 18396764
    num_examples: 31581
  download_size: 8432108
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- config_name: cr
  features:
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  - name: query
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  - name: match_score
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  - name: expanded_search
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  splits:
  - name: train
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- config_name: cu
  features:
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  - name: query
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  - name: docid
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  - name: query_date
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  - name: answer_date
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  - name: match_score
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  - name: expanded_search
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  - name: answer_type
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  splits:
  - name: train
    num_bytes: 15549488
    num_examples: 26858
  download_size: 7205881
  dataset_size: 15549488
- config_name: do
  features:
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  - name: query
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  - name: docid
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  - name: query_date
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  - name: answer_date
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  - name: match_score
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  - name: expanded_search
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  - name: answer_type
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  splits:
  - name: train
    num_bytes: 19530204
    num_examples: 33189
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  dataset_size: 19530204
- config_name: ec
  features:
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  - name: query
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  - name: docid
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  - name: match_score
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  - name: expanded_search
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  - name: answer_type
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  splits:
  - name: train
    num_bytes: 19919695
    num_examples: 33673
  download_size: 9358853
  dataset_size: 19919695
- config_name: es
  features:
  - name: id
    dtype: int64
  - name: query
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  - name: docid
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  - name: docid_text
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  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
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  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 17664788
    num_examples: 30624
  download_size: 8279476
  dataset_size: 17664788
- config_name: general
  features:
  - name: id
    dtype: int64
  - name: query
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  - name: docid
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  - name: docid_text
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  - name: query_date
    dtype: date32
  - name: answer_date
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  - name: match_score
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  - name: expanded_search
    dtype: bool
  - name: answer_type
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  splits:
  - name: train
    num_bytes: 423151651
    num_examples: 731219
  download_size: 199482477
  dataset_size: 423151651
- config_name: gt
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
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  - name: docid_text
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  - name: query_date
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  - name: answer_date
    dtype: date32
  - name: match_score
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  - name: expanded_search
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  - name: answer_type
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  splits:
  - name: train
    num_bytes: 16011188
    num_examples: 27601
  download_size: 7353032
  dataset_size: 16011188
- config_name: hn
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 18625017
    num_examples: 32426
  download_size: 8746833
  dataset_size: 18625017
- config_name: mx
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 23350619
    num_examples: 40357
  download_size: 11018405
  dataset_size: 23350619
- config_name: ni
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 19435299
    num_examples: 33966
  download_size: 9240090
  dataset_size: 19435299
- config_name: pa
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
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  - name: expanded_search
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  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 18197383
    num_examples: 31561
  download_size: 8647392
  dataset_size: 18197383
- config_name: pe
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
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  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 18055535
    num_examples: 31335
  download_size: 8080223
  dataset_size: 18055535
- config_name: pr
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 19028895
    num_examples: 32952
  download_size: 9036484
  dataset_size: 19028895
- config_name: py
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 17324120
    num_examples: 30191
  download_size: 8040419
  dataset_size: 17324120
- config_name: sv
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 18162220
    num_examples: 31741
  download_size: 8587078
  dataset_size: 18162220
- config_name: us
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 16045173
    num_examples: 27732
  download_size: 6870579
  dataset_size: 16045173
- config_name: uy
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 14998545
    num_examples: 26427
  download_size: 7199302
  dataset_size: 14998545
- config_name: ve
  features:
  - name: id
    dtype: int64
  - name: query
    dtype: string
  - name: docid
    dtype: string
  - name: docid_text
    dtype: string
  - name: query_date
    dtype: date32
  - name: answer_date
    dtype: date32
  - name: match_score
    dtype: float32
  - name: expanded_search
    dtype: bool
  - name: answer_type
    dtype: string
  splits:
  - name: train
    num_bytes: 19353758
    num_examples: 32856
  download_size: 8963688
  dataset_size: 19353758
configs:
- config_name: ar
  data_files:
  - split: train
    path: ar/train-*
  - split: test
    path: ar/test-*
- config_name: bo
  data_files:
  - split: train
    path: bo/train-*
  - split: test
    path: bo/test-*
- config_name: cl
  data_files:
  - split: train
    path: cl/train-*
- config_name: co
  data_files:
  - split: train
    path: co/train-*
- config_name: cr
  data_files:
  - split: train
    path: cr/train-*
- config_name: cu
  data_files:
  - split: train
    path: cu/train-*
- config_name: do
  data_files:
  - split: train
    path: do/train-*
- config_name: ec
  data_files:
  - split: train
    path: ec/train-*
- config_name: es
  data_files:
  - split: train
    path: es/train-*
- config_name: general
  data_files:
  - split: train
    path: general/train-*
- config_name: gt
  data_files:
  - split: train
    path: gt/train-*
- config_name: hn
  data_files:
  - split: train
    path: hn/train-*
- config_name: mx
  data_files:
  - split: train
    path: mx/train-*
- config_name: ni
  data_files:
  - split: train
    path: ni/train-*
- config_name: pa
  data_files:
  - split: train
    path: pa/train-*
- config_name: pe
  data_files:
  - split: train
    path: pe/train-*
- config_name: pr
  data_files:
  - split: train
    path: pr/train-*
- config_name: py
  data_files:
  - split: train
    path: py/train-*
- config_name: sv
  data_files:
  - split: train
    path: sv/train-*
- config_name: us
  data_files:
  - split: train
    path: us/train-*
- config_name: uy
  data_files:
  - split: train
    path: uy/train-*
- config_name: ve
  data_files:
  - split: train
    path: ve/train-*
---

# Dataset Card for [More Information Needed]

<!-- Provide a quick summary of the dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

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## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

### Data Instances

<!-- Provide an JSON-formatted example and brief description of a typical instance in the dataset. If available, provide a link to further examples.

```
{
  'example_field': ...,
  ...
}
```

Provide any additional information that is not covered in the other sections about the data here. In particular describe any relationships between data points and if these relationships are made explicit. -->

[More Information Needed]


### Data Fields

- `id`: query id
- `query`: query text
- `docid`: relevant document id in the corpus
- `docid_text`: relevant document text
- `query_date`: date the query was extracted
- `answer_date`: date the answer was extracted
- `match_score`: the longest string in the SERP answer that is a substring of the matched document text, as a ratio of the length of the SERP answer
- `expanded_search`: if the SERP returned a message indicating that the search was "expanded" with additional results ("se incluyen resultados de...")
- `answer_type`: type of answer extracted (`feat_snippet`, featured snippets, are the most important)

<!-- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions. -->



### Data Splits

<!-- Describe and name the splits in the dataset if there are more than one.

Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here.

Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length.  For example:

|                         | train | validation | test |
|-------------------------|------:|-----------:|-----:|
| Input Sentences         |       |            |      |
| Average Sentence Length |       |            |      |
-->


[More Information Needed]


## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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